VISGRADER:对D3可视化的自动分级
IEEE transactions on visualization and computer graphics
|October 26, 2023
概括
对于大型类来说,对D3数据可视化进行评分是很困难的. 维斯格拉德提供了一个自动解决方案,精确评估可视化,改善学生的学习和反.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
- 数据可视化 数据可视化
背景情况:
- 手动对D3数据可视化进行分级是耗时的,并且对于大型学生群体来说难以扩展.
- 评估交互式可视化需要复杂的定量和定性评估.
- 越来越多的可视化复杂性和数据大小加剧了分级挑战.
研究的目的:
- 介绍VISGRADER,这是一个对D3数据可视化进行分级的自动化系统.
- 为数据绑定,视觉编码,交互和设计规范提供可扩展和精确的评估.
- 通过快速,代的反来增强学生的学习体验.
主要方法:
- 开发用于D3可视化的自动分级方法.
- 对数据绑定,视觉编码和交互实施精确的评估指标.
- 无数学生提交的可扩展处理.
主要成果:
- 维斯格拉德成功地自动评分了来自4000多名学生的D3提交.
- 该系统精确地评估了关键的可视化组件.
- 关于该系统的采用和有效性,我们收到了积极的反.
结论:
- VISGRADER提供了一个可扩展和有效的解决方案,用于自动分级D3数据可视化.
- 该系统通过提供及时和信息化的反来增强学生的学习.
- 自动评分系统可以显著改善数据可视化课程中的教育体验.
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